S

Sri Nitchith Akula

Software Engineer

Redwood City, California, United States7 yrs 11 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • 7+ years in deep learning and computer vision.
  • Developed AI systems for autonomous vehicles and smartphones.
  • Published patents in video coding technologies.
Stackforce AI infers this person is a Deep Learning and Computer Vision Engineer specializing in Consumer Electronics and Automotive industries.

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Skills

Core Skills

Deep LearningComputer VisionVideo Compression

Other Skills

AI-powered Video Super-resolutionCNN DesignModel TuningAI ScaleNetDNN ArchitecturesVideo Streaming Optimization360° Video CodingVideo Coding StandardsPatentsAndroid DevelopmentCepstrum AnalysisProgrammingImage ProcessingPython (Programming Language)TensorFlow

About

I'm a deep learning and computer vision engineer with 7+ years of experience building real-world AI systems across autonomous vehicles, smartphones, and video compression. At Zoox, I develop and deploy motion forecasting models that enhance the safety and accuracy of autonomous driving. Previously at Samsung, I played a key role in AI-powered video super-resolution and compression models that were commercialized in Samsung smartphones and 8K TVs. I contributed to designing efficient CNNs, ARM GPU optimizations, and model tuning for on-device inference. My journey has spanned research, from spiking neural networks at IIT Bombay to neural re-photography at CMU, to building and deploying machine learning systems that scale. I'm passionate about designing, training, and shipping models for real-world applications.

Experience

7 yrs 11 mos
Total Experience
4 yrs 7 mos
Average Tenure
3 yrs 4 mos
Current Experience

Zoox

2 roles

Software Engineer - Prediction

Jan 2023Present · 3 yrs 4 mos · California, United States

  • At Zoox, I develop and deploy deep learning–based motion forecasting models that predict trajectories of nearby vehicles and vulnerable road users (VRUs) around the autonomous vehicle.
Deep LearningComputer Vision

Research Intern - Prediction

May 2022Aug 2022 · 3 mos · California, United States

Samsung r&d institute india

4 roles

Lead Engineer

Mar 2020Feb 2021 · 11 mos

  • Worked on supporting AI-powered Gallery Zoom on Samsung M31s, A51, A71
  • Fine-tuned a low complex CNN to replace the default scaler in mobile for image zoom in the gallery application
  • Addressed numerous practical challenges like performance, handling different kinds of content while porting the solution to mobiles.
  • Studied literature on using AI in video codecs: 1) End-to-End AI Codec 2) Replacing modules in traditional codecs (Loop Filters, Intra/Inter Prediction)
AI-powered Video Super-resolutionCNN DesignModel TuningVideo CompressionDeep Learning

Senior Software Engineer

Promoted

Mar 2018Mar 2020 · 2 yrs

  • Worked on improving video streaming pipeline using AI ScaleNet technology
  • Developed fixed point C solution to AI upscale 4K content to 8K content for Samsung 8K TVs
  • Optimized AI ScaleNet for Samsung Note 20 to support VGA video calls at QVGA bandwidth
  • Explored many DNN architectures to realize them real-time in mobile phones
  • Learned many optimization and porting tools like Snapdragon SNPE, OpenCL, x86 SIMD, ARM Neon
AI ScaleNetDNN ArchitecturesVideo Streaming OptimizationVideo CompressionDeep Learning

Software Engineer

Jun 2016Feb 2018 · 1 yr 8 mos

  • Worked on improving 360° video coding technologies for Video Coding standards
  • Proposed new frame packing for Icosahedral Projection (ISP) format, which was adopted into Audio Video Standard (AVS)
  • Obtained 1st place for subjective quality in 360° video category of Call for Proposals (CfP) for Versatile Video Coding (VVC) standard
  • Published five patents, with two of them as the primary author
360° Video CodingVideo Coding StandardsPatentsVideo Compression

Intern

May 2015Jul 2015 · 2 mos · Bengaluru, Karnataka, India

  • Developed an Android library for estimating fundamental frequencies in a given mixed audio signal using Cepstrum Analysis
  • Built an Android Application with real-time horn-detection features to ensure pedestrian safety with an appropriate alarm mechanism
  • Awarded Pre-Placement Offer (PPO) from Samsung India for my performance
Android DevelopmentCepstrum Analysis

Education

Carnegie Mellon University

Master of Science - MS — Computer Vision

Aug 2021Dec 2022

Indian Institute of Technology, Bombay

Bachelor of Technology (B.Tech.) with Honours — Electrical Engineering

Jan 2012Jan 2016

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